使用python使用最小/最大/平均值打印csv文件

我有一个csv文件，每100秒有一个测量点。 进行了5次不同的测量。 我正在寻找一个简单的解决方案，如何使用Python创建一个线条图，其中每个测量点的平均值为最小值，最大值为条形图。 CSV文件如下所示：

0,0.000622,0.000027,0.000033,0.000149,0.000170 100,0.014208,0.017168,0.017271,0.015541,0.027972 200,0.042873,0.067629,0.035837,0.033160,0.018006 300,0.030700,0.018563,0.016640,0.020294,0.020338 400,0.018906,0.016507,0.015445,0.018734,0.017593 500,0.027344,0.045668,0.015214,0.016045,0.015520 600,0.021233,0.098135,0.016511,0.015892,0.018342

第一列以秒为单位

也许有人能帮我一个快速的主意

提前谢谢

----------增加

到目前为止，我所拥有的：

import pandas as pd

input_df = pd.read_csv(input.csv")
input_df['max_value'] = input_df.iloc[:,1:6].max(axis=1)
input_df['min_value'] = input_df.iloc[:,1:6].min(axis=1)
input_df['avg_value'] = input_df.iloc[:,1:6].mean(axis=1)

input_df.plot(x=input_df["0"], y='avg_value')

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如何添加错误条最小值、最大值可以使用matplotlib。对于您的问题：

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

data=np.array([ [0,0.000622,0.000027,0.000033,0.000149,0.000170],
            [100,0.014208,0.017168,0.017271,0.015541,0.027972],
            [200,0.042873,0.067629,0.035837,0.033160,0.018006],
            [300,0.030700,0.018563,0.016640,0.020294,0.020338],
            [400,0.018906,0.016507,0.015445,0.018734,0.017593],
            [500,0.027344,0.045668,0.015214,0.016045,0.015520],
            [600,0.021233,0.098135,0.016511,0.015892,0.018342] ])
mean = np.mean(data[:,1:], axis=1)
min = np.min(data[:,1:], axis=1)
max = np.max(data[:,1:], axis=1)
errs = np.concatenate((mean.reshape(1,-1)-min.reshape(1,-1), max.reshape(1,-1)- 
mean.reshape(1,-1)),axis=0)

plt.figure()
plt.errorbar(data[:,0], mean, yerr=errs)
plt.show()

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到目前为止你试过什么？看看pandas，这些文档非常棒，我们可以从提供的一些代码开始，而不是从头开始为您编写代码。input_df.plotx=input_df[0]，y='avg_value'，yerr=['min_value'，'max_value']这行代码不像我希望的那样工作。